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Falls InjuryNCT07536035

Potential of Interface Care Models to Deliver More Appropriate Care to Patients With Acute Medical Illness

An observational study of Falls Injury and Falls, run by National University Hospital, Singapore at 1 site in Singapore.

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Trial summary

Every country in the world is experiencing growth in both the size and the proportion of older persons. As a result of the changes, the profile and needs of people with medical illnesses have evolved. Read more about this study

Who is it for?
Ages 21 years and older
Conditions the study is for
Falls Injury, Falls, Hospitalization in Acute Care
How many people
220 participants
Where
1 siteSingapore
Study dates
30 Sep 2024to 31 May 2026
Phase
Observational

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 21 years and older
  • All sexes
  • No healthy volunteers
  • Adult, Older adult

Study population: The study population will consist of adult patients admitted to the National University Hospital (NUH), Singapore, for acute medical conditions. Participants will be recruited either from the Acute Medical Unit (AMU) or directly to the General Ward (GW) following presentation to the Emergency Department. Patients represent a typical mix of acute medical admissions seen in a tertiary hospital setting, including infection-related illnesses, falls with disequilibrium, and acute exacerbations of chronic diseases such as Chronic Obstructive Pulmonary Disease (COPD).

Who may be able to join

  • AMU inclusion criteria - admission from ED to AMU directly
  • Control group inclusion criteria - admission from ED to GW directly
  • Acute medical illnesses that includes infection-related conditions, falls-disequilibrium, and acute exacerbation of Chronic Obstructive Pulmonary Disease (COPD).

Who cannot join

  • Below 21 years old
  • Patients undergoing active chemotherapy
  • Patients with active pregnancy
  • Patients admitted less than 24 hours
  • Cerebrovascular disease requiring thrombolysis or intravascular intervention

Trial locations and contacts

1 site in 1 country. Contact the study team or a site near you to ask about taking part.

John TY Soong, PhD contact

+6567727678

John_Soong@nuhs.edu.sg

Singapore1 site, 1 recruiting
  • National University Hospital

    Singapore, 119228

    John TY Soong, PhD, +6567727678, John_soong@nuhs.edu.sg

    John TY Soong, PhD

    Recruiting

Other trials in Singapore

About this study

Official title: Potential of Interface Care Models to Deliver More Appropriate Care to Patients With Acute Medical Illness in Singapore and Decrease Utilisation of Acute Care Bed-days

Every country in the world is experiencing growth in both the size and the proportion of older persons. As a result of the changes, the profile and needs of people with medical illnesses have evolved. How care is delivered to patients has to keep pace with these changes, or patients will experience poor care at high cost and not have their needs met. A new model of care has emerged to meet these challenges: Acute Medical Unit. Despite considerable investment and popularity of this model, questions remain: (i) Who benefits most from this care model? (ii) How may these models be most effectively implemented for the best results? (iii) How effective are these models? Singapore is well-placed to answer these questions with its national healthcare system and excellent research institutions. The investigators plan to study how effective the model is by comparing patients with similar profiles exposed to both these care models compared to how hospital care is usually provided, looking for four differences: (i) how long patients stay in hospital, (ii) how often they use the emergency department (iii) quality of health (iv) cost. Additionally, the investigators seek to characterise patterns of health needs for this group of patients.

Keywords
Acute Medical Unit, Acute Medicine, Interface Care, Clinical effectiveness, Cost effectiveness, prospective observational, matched controlled
Medical subject headings
Pulmonary Disease, Chronic Obstructive, Infections, Pneumonia, Urinary Tract Infections

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

Study groups in NCT07536035
Study groupRoleWhat they receive
Acute Medical Unit (AMU) PatientsPatients admitted to the AMU from the Emergency Department (ED) or specialist clinics as their first admission ward. The AMU provides rapid assessment and early intervention to improve efficiency of care. Participants will primarily include adults with acute medical illnesses such as infection-related conditions, falls/disequilibrium, or acute exacerbation of COPD.
General Ward (GW) Control PatientsPatients admitted directly from the ED to General Wards under the Division of Advanced Internal Medicine. Patients will be matched to the AMU group by diagnosis group, age, gender, illness severity, comorbidities, frailty, and functional status to minimize confounding factors.

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Mean acute care bed-days utilised

    Average total days of acute hospital stay, including the index episode, for each patient. Measures efficiency of hospital care between AMU and GW groups.

    Measured: Up to 6 months following discharge

Secondary outcomes (9)
  1. Patient Outcomes - Health-related Quality of Life (EQ-5D-5L)

    Patients rate 5 areas - mobility, self-care, usual activities, pain/discomfort, and anxiety/depression on a 5-level scale from 1 (no problems) to 5 (extreme problems). Scores are combined into an overall health index, where higher scores indicate worse health status. This captures the patient's overall quality of life over the follow-up period.

    Measured: Baseline (Day 0, at discharge), 3 months post-discharge, and 6 months post-discharge

  2. Patient Outcomes - Patient Activation Measure (PAM-13)

    Patients answer 13 questions on a 4-point scale from "strongly disagree" to "strongly agree," with a "not applicable" option. Raw scores are converted to a 0-100 scale, where higher scores indicate greater engagement in self-care. Scores classify patients into four levels: Level 1 = disengaged, Level 2 = gaining confidence, Level 3 = taking action, Level 4 = confident and maintaining self-management.

    Measured: Baseline (Day 0, at discharge) and 6 months post-discharge

  3. Patient Outcomes - World Health Organisation Five Wellbeing (WHO-5)

    Patient answers five questions that assess mood, energy, and interest in daily life over the past two weeks, scored 0 (at no time) to 5 (all of the time). The total score (0-25) is multiplied by 4 to create a 0-100 scale, where higher scores indicate better wellbeing.

    Measured: Baseline (Day 0, at discharge), 3 months post-discharge, and 6 months post-discharge

  4. Patient Outcomes - Patient Health Questionnaire (PHQ-9)

    PHQ-9 includes 9 items scored 0 (not at all) to 3 (nearly every day), total 0-27; higher scores indicate more severe depressive symptoms.

    Measured: Baseline (Day 0, at discharge) and 6 months post-discharge

  5. Patient Outcomes - Functional Dependence (Barthel Index)

    Measures independence in 10 daily activities, scored 0 (fully dependent) to 100 (fully independent). Higher scores indicate greater ability to perform daily activities without assistance.

    Measured: Baseline (Day 0, at discharge) and 6 months post-discharge

  6. System Outcomes - Number of Emergency Department (ED) visits

    Number of ED visits recorded in hospital records within 6 months. Higher counts reflect greater acute care needs.

    Measured: Baseline (Day 0, at discharge) and 6 months post-discharge

  7. System Outcomes - Specialist Outpatient Clinic visit

    Number of outpatient specialist visits, as recorded in hospital system.

    Measured: Baseline (Day 0, at discharge) and 6 months post-discharge

  8. System Outcomes - Polyclinic Visits

    Number of visits to public polyclinics captured through health records

    Measured: Baseline (Day 0, at discharge) and 6 months post-discharge

  9. System Outcomes - Hospital Admissions

    Number of inpatient hospital admissions during follow-up, excluding the index admission.

    Measured: 6 months post-discharge

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted17 Apr 2026
  2. Study start30 Sep 2024
  3. Primary completion31 May 2026 (estimated)
  4. Study completion31 May 2026 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Cohort
Time perspective
Prospective
Enrolment
220 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT07536035
Sponsor's protocol ID
MOH-001435-00
Status last verified
Sep 2025
First submitted
25 Jan 2026
Last updated
17 Apr 2026
Results posted
No
Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
Undecided: At the time of study planning, no identified repository existed for this data. Researchers are welcome to contact the Principal Investigator directly.

Publications

  • Lateef A, Lee SH, Fisher DA, Goh WP, Han HF, Segara UC, Sim TB, Mahadehvan M, Goh KT, Cheah N, Lim AYT, Phan PH, Merchant RA. Impact of inpatient Care in Emergency Department on outcomes: a quasi-experimental cohort study. BMC Health Serv Res. 2017 Aug 14;17(1):555. doi: 10.1186/s12913-017-2491-x.

    PubMed 28806942
  • Balakrishnan T, Teo PSE, Lim WT, Xin XH, Yuen BH, Wong KS. Acute Medical Ward for better care coordination of patients admitted with infection - evidence from a tertiary hospital in Singapore. Acute Med. 2017;16(4):170-176.

    PubMed 29300795
  • Reid LE, Dinesen LC, Jones MC, Morrison ZJ, Weir CJ, Lone NI. The effectiveness and variation of acute medical units: a systematic review. Int J Qual Health Care. 2016 Sep;28(4):433-46. doi: 10.1093/intqhc/mzw056. Epub 2016 Jun 16.

    PubMed 27313174
  • Soong JTY, Bell D, Ong MEH. Meeting today's healthcare needs: Medicine at the interface. Ann Acad Med Singap. 2022 Dec;51(12):787-792. doi: 10.47102/annals-acadmedsg.2022196.

    PubMed 36592147
  • Roseveare C. Acute medicine and general practice: a key interface in managing emergency care pressures. Br J Gen Pract. 2014 Mar;64(620):122-3. doi: 10.3399/bjgp14X677392. No abstract available.

    PubMed 24567628
  • Soong JTY, Valderas JM, Bell D, Ghandi M, Graves N, Ong M. Clinical and cost-effectiveness of an acute medical unit model in Singapore: protocol for a pilot prospective cohort study. BMJ Open. 2026 Jul 27;16(7):e121444. doi: 10.1136/bmjopen-2026-121444.

    PubMed 42509004

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